Utilizing the public single-cell atlas of fetal, pediatric, and adult human liver, this study aims to elucidate the developmental trajectory of human hepatocytes. By integrating advanced computational approaches, we will track the maturation process of hepatocytes and identify the regulatory networks governing human liver development. Our analysis will leverage high-resolution single-cell data to uncover key molecular mechanisms and transcriptional dynamics, providing insights into liver ontogeny and potential therapeutic targets. Access to robust computational resources is essential to process large-scale single-cell datasets and perform complex network analyses, enabling a comprehensive understanding of human liver development across life stages. This study will use artificial intelligence-based multimodal analysis for better accuracy than traditional analysis. We will also use 3D in vitro models, including organoids, spheroids, and organ-on-chips, to recapitulate liver development. We will collect 3D images of the 3D cultures and perform cell segmentation and analysis.